Cloudflare WAF proactively protects against React vulnerability
Cloudflare has deployed a new protection to address a vulnerability in React Server Components (RSC). All Cloudflare customers are automatically protected, including those on free and paid plans, as long as their React application traffic is proxied through the Cloudflare Web Application Firewall (WAF).
Cloudflare Workers are inherently immune to this exploit. React-based applications and frameworks deployed on Workers are not affected by this vulnerability.
We strongly recommend that customers immediately update their systems to the most recent version of React, despite our WAF being designed to detect and prevent this exploit.
Cloudflare has been alerted by its security partners to a Remote Code Execution (RCE) vulnerability impacting Next.js, React Router, and other React frameworks (security advisory CVE-2025-55182, rated CVSS 10.0). Specifically, React version 19.0, 19.1, and 19.2, and Next.js from version 15 through 16 were found to insecurely deserialize malicious requests, leading to RCE.
In response, Cloudflare has deployed new rules across its network, with the default action set to Block. These new protections are included in both the Cloudflare Free Managed Ruleset (available to all Free customers) and the standard Cloudflare Managed Ruleset (available to all paying Continue reading
Cloudflare’s 2025 Q3 DDoS threat report — including Aisuru, the apex of botnets
Welcome to the 23rd edition of Cloudflare’s Quarterly DDoS Threat Report. This report offers a comprehensive analysis of the evolving threat landscape of Distributed Denial of Service (DDoS) attacks based on data from the Cloudflare network. In this edition, we focus on the third quarter of 2025.
The third quarter of 2025 was overshadowed by the Aisuru botnet with a massive army of an estimated 1–4 million infected hosts globally. Aisuru unleashed hyper-volumetric DDoS attacks routinely exceeding 1 terabit per second (Tbps) and 1 billion packets per second (Bpps). The number of these attacks surged 54% quarter-over-quarter (QoQ), averaging 14 hyper-volumetric attacks daily. The scale was unprecedented, with attacks peaking at 29.7 Tbps and 14.1 Bpps.
Other than Aisuru, additional key insights in this report include:
DDoS attack traffic against AI companies surged by as much as 347% MoM in September 2025, as public concern and regulatory review of AI increases.
Escalating EU-China trade tensions over rare earth minerals and EV tariffs coincide with a significant increase in DDoS attacks against the Mining, Minerals & Metals industry as well as the Automotive industry in 2025 Q3.
Overall, in the third quarter of 2025, Cloudflare’s autonomous Continue reading
Worth Watching: AI/ML Data Center Design
What could be better than watching 0x02 Jeffs discuss networking? How about having Petr Lapukhov of the RFC 7938 fame as a guest discussing AI/ML Data Center Design?
Note: Petr disappeared into the information black hole called Facebook over a decade ago, so I wondered how they allowed him to chat on a podcast for hours. It turns out he moved to NVIDIA, which might influence the podcast content a bit, but I’m pretty sure Petr is still Petr ;)
AI Meets Kubernetes Security: Tigera CEO Reveals What Comes Next for Platform Teams
Kubernetes adoption is growing rapidly, but so are complexity and security risks.
Platform teams are tasked with keeping clusters secure and observable while navigating a skills gap. At KubeCon + CloudNativeCon North America, The New Stack spoke with Ratan Tipirneni, President and CEO of Tigera, about the future of Kubernetes security, AI-driven operations, and emerging trends in enterprise networking. The highlights from that discussion are summarized below.
Portions of this article are adapted from a recorded interview between The New Stack’s Heather Joslin and Tigera CEO Ratan Tipirneni. You can watch the full conversation on The New Stack’s YouTube channel. Watch the full interview here
How Can Teams Better Manage the Kubernetes Blast Radius and Skills Gap?
Tipirneni emphasizes the importance of controlling risk in Kubernetes clusters. “You want to be able to microsegment your workloads so that if you do come under an attack, you can actually limit the blast radius,” he says.
Egress traffic is another area of concern. According to Tipirneni, identifying what leaves the cluster is critical for security and compliance. Platform engineers are often navigating complex configurations without decades of Continue reading
HW066: An Inside Look at the WLAN-Pi App
Ben Toner once again joins Keith Parsons to explain the new WLAN-Pi App. Originally built to control the WLAN-Pi Go, the app now works with all WLAN-Pi models and consolidates controls previously spread across the web UI and APIs. They then dive deeper into the method of connectivity for the app and the functionalities it... Read more »PP089: Hidden Wi-Fi Misconfigurations and Wi-Fi 7 Issues to Be Aware Of
There may be misconfigurations and other problems lurking in your wireless network. From a lack of peer isolation to poor segmentation to RADIUS problems and vendor fails, these issues can make your WLAN less secure. Jennifer “JJ” Minella goes from Packet Protector co-host to guest as she discusses these issues with Drew Conry-Murray. This episode... Read more »HS119: Securing 2026: How AI, Quantum, and the AI-Powered Browser are Driving Enterprise Defense (Sponsored)
Anand Oswal, Executive Vice President at Palo Alto Networks, joins Johna Johnson and John Burke for a wide-ranging exploration of two emerging focal points of enterprise risk: cryptographically relevant quantum computing, and browser-mediated agentic AI. The looming arrival of quantum computers that can break legacy encryption has already created the threat of “harvest now, decrypt... Read more »
NB554: AWS, Google Link Public Clouds; Trading Data Center Has Zero Chill
Take a Network Break! We start with listener follow-up on Fortinet’s vulnerability numbering, and sound a red alert about an authentication bypass vulnerability in ASUS’s AiCloud service. AWS and Google announce a joint cross-cloud interconnect offering (other cloud providers are invited to play), Microsoft and Ciena pitch a new design to boost optical network resiliency,... Read more »Multi-Pod EVPN Troubleshooting (Part 3)
Last week, we fixed the mismatched route targets in our sample multi-pod EVPN fabric. With that fixed, every PE device should see every other PE device as a remote VTEP for ingress replication purposes. We got that to work on Site-A (AS 65001), but not on Site-B (AS 65002); let’s see what else is broken.
Note: This is the fifth blog post in the Multi-Pod EVPN series. If you stumbled upon it, start with the design overview and troubleshooting overview posts. More importantly, familiarize yourself with the topology we’ll be using; it’s described in the Multi-Pod EVPN Troubleshooting: Fixing Next Hops.
Ready? Let’s go. Here’s our network topology:
Computer Network Design Complexity and Tradeoffs Training
I’m teaching a “one off” special event class over on O’Reilly’s platform (via Pearson) this coming Friday, the 5th of December. From the Description:
Join networking engineer and infrastructure expert Russ White for this exclusive, one-time event exploring the critical role of tradeoffs in network design. We’ll begin by unpacking how complexity shapes the decisions architects and designers must make, and how tradeoffs are often an unavoidable part of navigating that complexity. Through real-world examples, you’ll learn how different network design choices impact overall system complexity, and how to approach these decisions with greater clarity and confidence. We’ll wrap up with an in-depth discussion of unintended consequences—how they arise, how to anticipate them, and how they relate to designing in complex, adaptive environments.
As always, if you register for the course you can watch later.
The Road To HPC And AI Profits Is Paved With Good Intentions
With a profitable PC business that has 25 percent of global shipments (thanks in large part to its acquisition of IBM’s PC business two decades ago) plus a respectable smartphone business (by virtue of its Motorola acquisition), the client device business at Lenovo is finally back to where it was during the peak of the coronavirus pandemic and is consistently delivering what are decent profits for this cut-throat part of the IT sector. …
The Road To HPC And AI Profits Is Paved With Good Intentions was written by Timothy Prickett Morgan at The Next Platform.
How to Upgrade Windows 11 on Unsupported Hardware
Upgrading Windows 11 can be challenging if your computer does not meet Microsoft’s strict hardware […]
The post How to Upgrade Windows 11 on Unsupported Hardware first appeared on Brezular's Blog.
Tech Bytes: Bringing AI Reasoning to Infrastructure with Itential FlowAI (Sponsored)
Itential has announced FlowAI, a new offering that brings agentic AI to Itential’s network automation platform. On today’s Tech Bytes podcast Ethan Banks talks with Peter Sprygada, Chief Architect at Itential, about how FlowAI works, its components, and how Itential uses the Model Context Protocol (MCP). They also dig into how FlowAI supports AI-driven orchestration... Read more »netlab as the Universal Configuration Translator
Dan Partelly, a heavy netlab user (and an active contributor), sent me this interesting perspective on how one might want to use netlab without ever building a lab with it. All I added was a bit of AI-assisted editing; my comments are on a grey background.
In all podcasts and interviews I listened to, netlab was referred to as a “lab management solution”. But this is misleading. It’s also a translator, due to its ability to abstract devices, and can easily generate perfectly usable configs for devices or technologies you have never worked on.
Why Replicate is joining Cloudflare
We're happy to announce that as of today Replicate is officially part of Cloudflare.
When we started Replicate in 2019, OpenAI had just open sourced GPT-2, and few people outside of the machine learning community paid much attention to AI. But for those of us in the field, it felt like something big was about to happen. Remarkable models were being created in academic labs, but you needed a metaphorical lab coat to be able to run them.
We made it our mission to get research models out of the lab into the hands of developers. We wanted programmers to creatively bend and twist these models into products that the researchers would never have thought of.
We approached this as a tooling problem. Just like tools like Heroku made it possible to run websites without managing web servers, we wanted to build tools for running models without having to understand backpropagation or deal with CUDA errors.
The first tool we built was Cog: a standard packaging format for machine learning models. Then we built Replicate as the platform to run Cog models as API endpoints in the cloud. We abstracted away both the low-level machine learning, and the complicated Continue reading
Harga $8, Kritik Berlipat: McDonald’s Hadapi Badai Online di Tengah Krisis Harga
Daftar Pustaka
Raksasa makanan cepat saji McDonald’s mencoba menawarkan nilai. Namun, promosi terbarunya justru memicu badai. Perusahaan mempromosikan paket McNugget seharga $8. Tetapi, konsumen merasa harga itu tidak masuk akal. Insiden ini menunjukkan adanya masalah yang lebih dalam. Perusahaan berjuang mempertahankan citra keterjangkauannya. Akibatnya, kritik online menggema dengan sangat keras.
Promosi $8 yang Memicu Amarah Online
Awal bulan ini, McDonald’s mengumumkan promosi terbatas. Promosi itu berisi 10 potong McNugget, kentang, dan minuman. Perusahaan memposisikannya sebagai penawaran nilai yang bagus. Namun, respons di media sosial sangat negatif. Banyak orang mengeluh di bawah postingan perusahaan. Mereka menyuarakan ketidakpuasan mereka secara terbuka.
Sebagai contoh, satu komentar menanyakan nilai dari promosi tersebut. “Sejak kapan $8 adalah harga yang bagus untuk nugget?” tulis seorang komentator. Keluhan lain berfokus pada kualitas dan layanan. Waktu tunggu di drive-thru juga menjadi sorotan. Akibatnya, postingan itu dipenuhi ratusan ulasan negatif.
Perusahaan mencoba merespons keluhan tersebut. Mereka meminta pengguna untuk mengirim informasi kontak mereka. Tujuannya adalah untuk menyelesaikan masalah secara privat. Namun, usaha itu tidak meredakan amarah publik. Badai kritik online terus berlanjut tanpa henti. Situasi ini menunjukkan jarak antara persepsi Continue reading
Fun Reading: From XML to LLMs
In his latest blog post (Systems design 3: LLMs and the semantic revolution), Avery Pennarun claims that LLMs might solve the problem we consistently failed to solve on a large scale for the last 60 (or so) years – the automated B2B data exchange.
You might agree with him or not (for example, an accountant or two might get upset with hallucinated invoice items), but his articles are always a fun read.
KubeCon NA 2025: Three Core Kubernetes Trends and a Calico Feature You Should Use Now
The Tigera team recently returned from KubeCon + CloudNativeCon North America and CalicoCon 2025 in Atlanta, Georgia. It was great, as always, to attend these events, feel the energy of our community, and hold in-depth discussions at the booth and in our dedicated sessions that revealed specific, critical shifts shaping the future of cloud-native platforms.
We pulled together observations from our Tigera engineers and product experts in attendance to identify three key trends that are directly influencing how organizations manage Kubernetes today.
Trend 1: Kubernetes is Central to AI Workload Orchestration
Trend 1: Kubernetes is Central to AI Workload OrchestrationA frequent and significant topic of conversation was the role of Kubernetes in supporting Artificial Intelligence and Machine Learning (AI/ML) infrastructure.
The consensus is clear: Kubernetes is becoming the standard orchestration layer for these specialized workloads. This requires careful consideration of networking and security policies tailored to high-demand environments. Observations from the Tigera team indicated a consistent focus on positioning Kubernetes as the essential orchestration layer for AI workloads. This trend underscores the need for robust, high-performance CNI solutions designed for the future of specialized computing.
Trend 2: Growth in Edge Deployments Increases Complexity
Trend 2: Growth in Edge Deployments Increases ComplexityConversations pointed to a growing and tangible expansion of Kubernetes beyond central data centers and Continue reading